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3 results for Data Engineer in Washington, DC

Data Engineer I

Washington, DC
remote
Temporary / Contract
44 - 47 USD / Hourly
Data Automation Engineer – AI / AWS / AzureWork Arrangement: RemoteClearance Requirement: Ability to obtain Public Trust Position OverviewWe are seeking a highly skilled Data Automation Engineer to design and implement advanced, AI-driven automation solutions across hybrid AWS and Azure environments. This role is focused on building scalable data pipelines, integrating modern cloud services, and leveraging Generative AI technologies to enhance enterprise analytics and operational workflows.The ideal candidate is a hands-on engineer with strong expertise in data engineering, cloud platforms, and automation, combined with the ability to innovate and solve complex technical challenges. This role provides the opportunity to work on mission-critical systems, supporting large-scale data processing, reporting, and AI-enabled applications. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, EMR, DynamoDB)</li><li>Develop and optimize ETL/ELT workflows across hybrid AWS and Azure environments</li><li>Integrate structured, unstructured, and streaming data across enterprise systems</li></ul>AI & Automation Engineering<ul><li>Leverage Generative AI frameworks (AWS Bedrock, Azure OpenAI, LangChain, Hugging Face) to build intelligent automation</li><li>Implement solutions for embeddings, vector generation, and RAG workflows</li><li>Develop AI-driven tools for data quality, anomaly detection, and pipeline optimization</li><li>Build AI-powered copilots for monitoring, troubleshooting, and workflow automation</li></ul>Data Platform Integration & Optimization<ul><li>Engineer real-time and batch ingestion pipelines using Spark, Kafka, and Flume</li><li>Integrate enterprise platforms and CRM data into data pipelines for analytics and reporting</li><li>Optimize SQL performance through stored procedures, indexing, and query tuning</li></ul>Cloud & DevOps Practices<ul><li>Implement CI/CD pipelines using tools such as GitHub, Jenkins, or Azure DevOps</li><li>Develop infrastructure solutions using Infrastructure-as-Code (IaC)</li><li>Ensure cloud security through IAM, RBAC, encryption, and network isolation</li></ul>Collaboration & Delivery<ul><li>Partner with cross-functional teams to gather requirements and deliver solutions</li><li>Support Agile delivery processes and continuous improvement initiatives</li><li>Provide technical troubleshooting and performance optimization across data systems</li></ul>
2026-06-15T00:00:00Z

Cloud Engineer

Washington, DC
onsite
Temporary / Contract
55 - 60 USD / Hourly
Senior Cloud Engineer – Observability & Performance EngineeringLocation: Washington, DC 20549Work Arrangement: Fully OnsiteClearance Requirement: Ability to obtain and maintain Public Trust Position OverviewWe are seeking a highly experienced Cloud Engineer (Observability) to lead the engineering, optimization, and operational maturity of enterprise observability platforms across hybrid cloud and containerized environments.This role is ideal for a hands-on engineer with deep expertise in Datadog, distributed tracing, APM, cloud monitoring, performance engineering, and site reliability practices. The successful candidate will partner with infrastructure, cloud, platform, and application teams to improve operational visibility, reduce alert fatigue, accelerate incident resolution, and drive data-informed operational decisions. Key ResponsibilitiesObservability Platform Engineering<ul><li>Engineer and operate enterprise observability solutions including:</li><li>Metrics</li><li>Logs</li><li>Distributed tracing</li><li>APM</li><li>Real User Monitoring (RUM)</li><li>Synthetic monitoring</li><li>Network monitoring</li><li>Build and optimize dashboards, alerts, SLOs, and SLIs</li><li>Implement OpenTelemetry and language-specific instrumentation</li><li>Integrate observability tooling with ServiceNow, CI/CD pipelines, and incident management workflows</li><li>Establish and maintain telemetry tagging standards and governance</li></ul>Cloud & Container Monitoring<ul><li>Design monitoring solutions for Azure and AWS workloads</li><li>Implement observability for:</li><li>Serverless services</li><li>Managed databases</li><li>Networking</li><li>Identity services</li><li>Cloud-native platforms</li><li>Support Kubernetes and OpenShift monitoring including clusters, nodes, workloads, and service mesh environments</li><li>Develop reusable observability modules using Infrastructure-as-Code</li></ul>Performance Engineering & Reliability<ul><li>Lead investigation and remediation of performance, latency, reliability, and capacity issues</li><li>Utilize APM, profiling, distributed tracing, and database analytics to identify bottlenecks</li><li>Define trace-based alerting and deployment correlation strategies</li><li>Support major incident response activities and root cause analysis efforts</li></ul>Capacity Planning & Operational Excellence<ul><li>Analyze telemetry and capacity trends to identify risks and opportunities</li><li>Develop reporting and dashboards for leadership and engineering teams</li><li>Improve alert quality, monitoring coverage, and operational maturity</li><li>Support enterprise SLA, KPI, and availability objectives</li></ul>
2026-07-01T00:00:00Z

Cloud Engineer

Herndon, VA
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships. Responsibilities:• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.
2026-06-25T00:00:00Z